PhD · Telecommunications Engineering Urmia University Laboratory

Engineering the terahertz frontier.

>_ Metamaterials Researcher▌

I am Mohammadreza Rohaninezhad researcher in metamaterials, transparent antennas, and THz absorbers, inventor of the world's first liquid-dielectric mutual-coupling reduction method, and Core Network engineer at NAK. From RIS and 6G to full-duplex MIMO, my work lives where electromagnetics meets what comes next.

Portrait of Mohammadreza Rohaninezhad
DR. M. ROHANINEZHAD
Blognotes & writing

From the notebook

September 5, 2026 · 1 minCURATED

Microsoft and AWS launch a managed multicloud interconnect

Multicloud interconnect is free in preview, built for distributed AI workloads In sum – what we know: Microsoft and AWS have jointly…

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September 4, 2026 · 1 minCURATED

VodafoneThree intros tiered 5G SA slicing portfolio for consumers, enterprises, critical services

VodafoneThree has launched a portfolio of ‘fast-track’ 5G 5G SA slicing services in the UK for consumers and enterprises, alongside a new…

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September 4, 2026 · 1 minCURATED

Ciena sees AI driving multi-year optical infrastructure investment cycle

AI is triggering a multiyear re-architecture of network infrastructure, says Ciena, driving higher bandwidth demand and making optical connectivity increasingly critical from…

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September 4, 2026 · 1 minCURATED

SK Telecom’s Topda turns work vans into an AI inspection fleet

AI cameras on ordinary vans turn daily technician routes into wireline inspection In sum – what we know: SK Telecom has commercialized…

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September 3, 2026 · 1 minCURATED

New star in comms firmament – Softbank positions HAPS between terrestrial and satellite

Softbank’s latest HAPS trial suggests the stratosphere could become more than a way to fill coverage gaps – potentially combining wide-area cellular,…

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September 3, 2026 · 1 minCURATED

AI pushes fiber networks toward a capacity crunch, AFL says

Noah Taylor, of AFL, told RCR that the combination of fiber availability and power constraints presents a further challenge for AI infrastructure…

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September 3, 2026 · 1 minCURATED

Distributed AI inference is redrawing the network map (Reader Forum)

As AI shifts from centralised training to distributed inference, network architecture is being redrawn around proximity, latency and resilience. Metro fiber, edge…

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September 2, 2026 · 1 minCURATED

A roadmap for agentic 7G AI-powered wireless networks

A research team from the Hong Kong University of Science and Technology (HKUST) proposed a new Reasoning-Empowered Task-Oriented Communication (TOC) framework that…

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September 2, 2026 · 1 minCURATED

Managing complexity in a growing MVNO business 

For many MVNOs, growth brings new opportunities – but it can also introduce new operational challenges.  Expanding into new markets, building relationships…

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